PubMed COVID-19 Clinical Care

The COVID-19 pandemic has caused significant changes around the world. The circumstances resulted in a radical shift in people's lives, including the way they move around the cities and/or carry out their activities. This study carries out a travel

CONCLUSION: Prepandemic and pandemic learning experiences differed significantly. PDs and fellows shared similar perceptions on how telehealth affected fellow education, except how telehealth affected didactics. Institutions varied in how telehealth

CONCLUSION: The AI algorithm demonstrated high sensitivity, specificity, and accuracy for PE on contrast-enhanced CT scans in patients with COVID-19 regardless of parenchymal disease. Accuracy was significantly affected by the mean attenuation of the

CONCLUSION: The AI algorithm demonstrated high sensitivity, specificity, and accuracy for PE on contrast-enhanced CT scans in patients with COVID-19 regardless of parenchymal disease. Accuracy was significantly affected by the mean attenuation of the

Australia introduced COVID-19 infection prevention and control measures in early 2020. To help prepare health services, the Australian Government Department of Health commissioned a modelled evaluation of the impact of disruptions to population

Insufficient annotated data and minor lung lesions pose big challenges for computed tomography (CT)-aided automatic COVID-19 diagnosis at an early outbreak stage. To address this issue, we propose a Semi-Supervised Tri-Branch Network (SS-TBN). First

Children exposed to parental intimate partner violence (IPV) are at high risk in terms of their mental health during the COVID-19 pandemic. Therefore, online interventions are imperative in a crisis situation. Empirical studies indicate a significant

The COVID-19 lockdown had a positive control effect on urban air quality. However, this effect remains uncertain after the epidemic enters regular management, and furthermore, only limited data are available regarding urban PM(2.5) (aerodynamic

[This corrects the article DOI: 10.1007/s44266-023-00027-1.].

CONCLUSION: The AI algorithm demonstrated high sensitivity, specificity, and accuracy for PE on contrast-enhanced CT scans in patients with COVID-19 regardless of parenchymal disease. Accuracy was significantly affected by the mean attenuation of the